Key result
The 3D strain estimation method based on elastic registration showed moderate correlations with sonomicrometry for longitudinal (r=0.63, p<0.01) and circumferential (r=0.60, p=0.01) strain.
Why the study?
Does a 3D strain estimation method based on elastic registration accurately measure regional myocardial strain compared to sonomicrometry in an open-chest sheep model?
Does a 3D strain estimation method based on elastic registration accurately measure regional myocardial strain compared to sonomicrometry in an open-chest sheep model?
Effect estimate: r=0.63 for longitudinal strain
p-value: p=<0.01
3D elastic registration of volumetric ultrasound can estimate longitudinal and circumferential strain with acceptable accuracy, but radial strain estimation remains challenging.
Supports preclinical validation of 3D elastic registration; leaves open clinical translation and radial strain accuracy.
Although real-time three-dimensional echocardiography has the potential to allow for more accurate assessment of global and regional ventricular dynamics compared to the more traditional two-dimensional ultrasound examinations, it still requires rigorous testing and validation against other accepted techniques should it breakthrough as a standard examination in routine clinical practice. Very few studies have looked at a validation of regional functional indices in an in-vivo context. The aim of the present study therefore was to validate a previously proposed 3D strain estimation-method based on elastic registration of subsequent volumes on a segmental level in an animal model. Volumetric images were acquired with a GE Vivid7 ultrasound system in five open-chest sheep instrumented with ultrasonic microcrystals. Radial (ε RR ), longitudinal (ε LL ) and circumferential strain (ε CC ) were estimated during four stages: at rest, during esmolol and dobutamine infusion, and during acute ischemia. Moderate correlations for ε LL (r=0.63; p<;0.01) and ε CC (r=0.60; p=0.01) were obtained, whereas no significant radial correlation was found. These findings are comparable to the performance of the current state-of-the-art commercial 3D speckle tracking methods.
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Heyde et al. (2011) studied Myocardial strain estimation validation (n=5). 3D strain estimation method based on elastic registration vs. Sonomicrometry was evaluated on Correlation between estimated end-systolic strain and reference end-systolic strain (r=0.63 for longitudinal strain, p=<0.01). The 3D strain estimation method based on elastic registration showed moderate correlations with sonomicrometry for longitudinal (r=0.63, p<0.01) and circumferential (r=0.60, p=0.01) strain.
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